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            <div class="highlight"><pre><span class="lineno">1</span><span></span><span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span><span class="p">,</span> <span class="n">Dict</span>
<span class="lineno">2</span>
<span class="lineno">3</span><span class="kn">import</span> <span class="nn">torch</span>
<span class="lineno">4</span><span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">nn</span>
<span class="lineno">5</span>
<span class="lineno">6</span><span class="kn">from</span> <span class="nn">labml_nn.neox.model</span> <span class="kn">import</span> <span class="n">TransformerLayer</span><span class="p">,</span> <span class="n">NeoXModule</span></pre></div>
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        <div class='code'>
            <div class="highlight"><pre><span class="lineno">9</span><span class="k">class</span> <span class="nc">FineTuner</span><span class="p">:</span></pre></div>
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                <a href='#section-2'>#</a>
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            <div class="highlight"><pre><span class="lineno">10</span>    <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">layers</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">NeoXModule</span><span class="p">]):</span>
<span class="lineno">11</span>        <span class="bp">self</span><span class="o">.</span><span class="n">layers</span> <span class="o">=</span> <span class="n">layers</span></pre></div>
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                <a href='#section-3'>#</a>
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            <div class="highlight"><pre><span class="lineno">13</span>    <span class="k">def</span> <span class="nf">get_trainable_params</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Parameter</span><span class="p">]:</span>
<span class="lineno">14</span>        <span class="n">params</span> <span class="o">=</span> <span class="p">{}</span>
<span class="lineno">15</span>        <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">layer</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">layers</span><span class="p">):</span>
<span class="lineno">16</span>            <span class="n">params</span><span class="o">.</span><span class="n">update</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">get_layer_trainable_params</span><span class="p">(</span><span class="n">layer</span><span class="p">,</span> <span class="n">prefix</span><span class="o">=</span><span class="sa">f</span><span class="s1">&#39;layer_</span><span class="si">{</span><span class="n">i</span> <span class="si">:</span><span class="s1">02d</span><span class="si">}</span><span class="s1">&#39;</span><span class="p">))</span>
<span class="lineno">17</span>
<span class="lineno">18</span>        <span class="k">return</span> <span class="n">params</span></pre></div>
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                <a href='#section-4'>#</a>
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        <div class='code'>
            <div class="highlight"><pre><span class="lineno">20</span>    <span class="k">def</span> <span class="nf">get_layer_trainable_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">layer</span><span class="p">:</span> <span class="n">NeoXModule</span><span class="p">,</span> <span class="n">prefix</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Parameter</span><span class="p">]:</span>
<span class="lineno">21</span>        <span class="k">raise</span> <span class="ne">NotImplementedError</span></pre></div>
        </div>
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    <div class='section' id='section-5'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-5'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">23</span>    <span class="k">def</span> <span class="nf">set_trainable_params</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="lineno">24</span>        <span class="k">for</span> <span class="n">layer</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">layers</span><span class="p">:</span></pre></div>
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    <div class='section' id='section-6'>
        <div class='docs'>
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                <a href='#section-6'>#</a>
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            <p><code  class="highlight"><span></span><span class="n">requires_grad</span></code>
<code  class="highlight"><span></span><span class="kc">False</span></code>
レイヤー全体でに設定します。</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">26</span>            <span class="n">layer</span><span class="o">.</span><span class="n">requires_grad_</span><span class="p">(</span><span class="kc">False</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-7'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-7'>#</a>
            </div>
            <p></p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">28</span>            <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_trainable_params</span><span class="p">()</span><span class="o">.</span><span class="n">values</span><span class="p">():</span>
<span class="lineno">29</span>                <span class="n">p</span><span class="o">.</span><span class="n">requires_grad_</span><span class="p">(</span><span class="kc">True</span><span class="p">)</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-8'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-8'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">31</span>    <span class="k">def</span> <span class="nf">state_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="lineno">32</span>        <span class="k">return</span> <span class="p">{</span><span class="n">n</span><span class="p">:</span> <span class="n">p</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span> <span class="k">for</span> <span class="n">n</span><span class="p">,</span> <span class="n">p</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_trainable_params</span><span class="p">()</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-9'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-9'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">34</span>    <span class="k">def</span> <span class="nf">load_state_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">state_dict</span><span class="p">:</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">]):</span>
<span class="lineno">35</span>        <span class="n">params</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">get_trainable_params</span><span class="p">()</span>
<span class="lineno">36</span>        <span class="k">for</span> <span class="n">n</span><span class="p">,</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">params</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
<span class="lineno">37</span>            <span class="n">p</span><span class="o">.</span><span class="n">data</span><span class="p">[:]</span> <span class="o">=</span> <span class="n">state_dict</span><span class="p">[</span><span class="n">n</span><span class="p">]</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">p</span><span class="o">.</span><span class="n">data</span><span class="o">.</span><span class="n">device</span><span class="p">)</span>
<span class="lineno">38</span>
<span class="lineno">39</span>        <span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="n">state_dict</span><span class="o">.</span><span class="n">keys</span><span class="p">():</span>
<span class="lineno">40</span>            <span class="k">assert</span> <span class="n">n</span> <span class="ow">in</span> <span class="n">params</span><span class="p">,</span> <span class="n">n</span></pre></div>
        </div>
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    <div class='section' id='section-10'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-10'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">43</span><span class="k">class</span> <span class="nc">FineTuneBiases</span><span class="p">(</span><span class="n">FineTuner</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-11'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-11'>#</a>
            </div>
            
        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">44</span>    <span class="k">def</span> <span class="nf">get_layer_trainable_params</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">layer</span><span class="p">:</span> <span class="n">NeoXModule</span><span class="p">,</span> <span class="n">prefix</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">nn</span><span class="o">.</span><span class="n">Parameter</span><span class="p">]:</span>
<span class="lineno">45</span>        <span class="n">params</span> <span class="o">=</span> <span class="p">{}</span>
<span class="lineno">46</span>
<span class="lineno">47</span>        <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">layer</span><span class="p">,</span> <span class="n">TransformerLayer</span><span class="p">):</span></pre></div>
        </div>
    </div>
    <div class='section' id='section-12'>
        <div class='docs'>
            <div class='section-link'>
                <a href='#section-12'>#</a>
            </div>
            <p>注意出力で加算するので、mlpバイアスをトレーニングする必要はありません。</p>

        </div>
        <div class='code'>
            <div class="highlight"><pre><span class="lineno">49</span>            <span class="n">params</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">prefix</span><span class="si">}</span><span class="s1">.attention.output.bias&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">layer</span><span class="o">.</span><span class="n">attention</span><span class="o">.</span><span class="n">output</span><span class="o">.</span><span class="n">bias</span>
<span class="lineno">50</span>            <span class="n">params</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">prefix</span><span class="si">}</span><span class="s1">.attention.qkv_lin.bias&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">layer</span><span class="o">.</span><span class="n">attention</span><span class="o">.</span><span class="n">qkv_lin</span><span class="o">.</span><span class="n">bias</span>
<span class="lineno">51</span>            <span class="n">params</span><span class="p">[</span><span class="sa">f</span><span class="s1">&#39;</span><span class="si">{</span><span class="n">prefix</span><span class="si">}</span><span class="s1">.ffn.dense_h_h4.bias&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">layer</span><span class="o">.</span><span class="n">ffn</span><span class="o">.</span><span class="n">dense_h_h4</span><span class="o">.</span><span class="n">bias</span>
<span class="lineno">52</span>        <span class="k">else</span><span class="p">:</span>
<span class="lineno">53</span>            <span class="k">pass</span>
<span class="lineno">54</span>
<span class="lineno">55</span>        <span class="k">return</span> <span class="n">params</span></pre></div>
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